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Optimisation de la conception des microcanaux à l'aide d'approximations et vérification expérimentale par dynamique numérique des fluides.

Microchannel approximation assisted design optimization and CFD verification.

Numéro : pap. n. R9, 2312

Auteurs : SALEH K., ABDELAZIZ O., AUTE V., et al.

Résumé

In electronics cooling devices, it is important to minimize the maximum channel temperature while maximizing the heat density (heat rejected per unit volume of the microchannel). This is a bi-objective optimization problem resulting in a tradeoff between the above mentioned two conflicting objectives. In order to find the optimal compact heat exchanger designs, mini and microchannel geometries are being utilized in microchannel designs. The objective of this paper is to evaluate the potential of small flow channels of prescribed dimension limits in designing high heat density microchannels for a given application. An approximation assisted optimization technique is applied to the optimization of a microchannel with single phase flow and constant heat flux. Adaptive sampling technique and the Kriging method is used to build offline metamodels for the maximum temperature, fluid outlet temperature, and pressure drop inside the channels. A multi-objective genetic algorithm is used as the optimizer. The results are verified using CFD simulations.

Documents disponibles

Format PDF

Pages : 8 p.

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Microchannel approximation assisted design optimization and CFD verification.
  • Identifiant de la fiche : 30000650
  • Langues : Anglais
  • Source : 2010 Purdue Conferences. 13th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Date d'édition : 12/07/2010

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